diff --git a/.github/workflows/build-python.yml b/.github/workflows/build-python.yml index c03960fb40..e8831d525e 100644 --- a/.github/workflows/build-python.yml +++ b/.github/workflows/build-python.yml @@ -48,29 +48,37 @@ defaults: shell: bash jobs: build-python: - name: "Python ${{ matrix.python-version }}${{ matrix.pydantic_v2 && ' (Pydantic V2)' || ''}} on ${{ matrix.os }}${{matrix.experimental && ' (Non failing)' || '' }}" + name: "Python ${{ matrix.python-version }}${{ matrix.pandas_v1 && ' (Pandas V1)' || ''}}${{ matrix.pydantic_v1 && ' (Pydantic V1)' || ''}} on ${{ matrix.os }}${{matrix.experimental && ' (Non failing)' || '' }}" runs-on: ${{ matrix.os }} strategy: fail-fast: false # Do not stop when any job fails matrix: - python-version: [ "3.8", "3.9", "3.10", "3.11" ] + python-version: [ "3.9", "3.10", "3.11" ] os: [ubuntu-latest] - pydantic_v2: [false] + pydantic_v1: [false] + pandas_v1: [false] # https://docs.github.com/en/actions/using-github-hosted-runners/about-github-hosted-runners#supported-runners-and-hardware-resources include: - python-version: "3.10" os: windows-2019 - pydantic_v2: false + pydantic_v1: false + pandas_v1: false - python-version: "3.10" os: windows-2022 - pydantic_v2: false + pydantic_v1: false + pandas_v1: false - python-version: "3.10" os: macos-latest - pydantic_v2: false + pydantic_v1: false + pandas_v1: false - python-version: "3.10" os: ubuntu-latest - pydantic_v2: true - + pydantic_v1: true + pandas_v1: false + - python-version: "3.10" + os: ubuntu-latest + pydantic_v1: false + pandas_v1: true continue-on-error: false # https://ncorti.com/blog/howto-github-actions-build-matrix steps: - name: Checkout code @@ -101,16 +109,27 @@ jobs: - name: Lint code run: pdm run lint - - name: Install pydantic v2 - if: ${{ matrix.pydantic_v2 }} + - name: Install pydantic v1 + if: ${{ matrix.pydantic_v1 }} run: | pdm run pip uninstall pydantic pydantic_core -y - pdm run pip install "pydantic>=2<3" + pdm run pip install "pydantic>=1,<2" - name: Check Pydantic installed version run: | pdm run pip freeze | grep '^pydantic' - 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output_data = pd.DataFrame(columns=["Modality", "Reference_distribution", "Actual_distribution", "Psi"]) - for category in range(len(all_modalities)): + output_data = [] + for category, modality in enumerate(all_modalities): modality_psi = _calculate_psi(category, actual_distribution, expected_distribution) - total_psi += modality_psi - row = { - "Modality": all_modalities[category], - "Reference_distribution": expected_distribution[category], - "Actual_distribution": expected_distribution[category], - "Psi": modality_psi, - } - - output_data = output_data.append(pd.Series(row), ignore_index=True) - return total_psi, output_data + output_data.append( + { + "Modality": modality, + "Reference_distribution": expected_distribution[category], + "Actual_distribution": expected_distribution[category], + "Psi": modality_psi, + } + ) + return total_psi, pd.DataFrame(output_data) def _calculate_ks(actual_series, reference_series) -> Ks_2sampResult: @@ -131,28 +130,29 @@ def _calculate_chi_square(actual_series, reference_series, max_categories): # so that reference and actual has the same size # See https://github.com/scipy/scipy/blob/v1.8.0/scipy/stats/_stats_py.py#L6787 k_norm = actual_series.shape[0] / reference_series.shape[0] - output_data = pd.DataFrame(columns=["Modality", "Reference_frequencies", "Actual_frequencies", "Chi_square"]) - for i in range(len(all_modalities)): + output_data = [] + for i, modality in enumerate(all_modalities): chi_square_value = (actual_frequencies[i] - expected_frequencies[i] * k_norm) ** 2 / ( expected_frequencies[i] * k_norm ) chi_square += chi_square_value - row = { - "Modality": all_modalities[i], - "Reference_frequencies": expected_frequencies[i], - "Actual_frequencies": actual_frequencies[i], - "Chi_square": chi_square_value, - } + output_data.append( + { + "Modality": modality, + "Reference_frequencies": expected_frequencies[i], + "Actual_frequencies": actual_frequencies[i], + "Chi_square": chi_square_value, + } + ) - output_data = output_data.append(pd.Series(row), ignore_index=True) # if reference_series and actual_series has only one modality it turns nan (len(all_modalities)=1) if len(all_modalities) > 1: chi_cdf = chi2.cdf(chi_square, len(all_modalities) - 1) p_value = 1 - 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worker start -s" +update-lock = "docker run --platform linux/amd64 --rm -it -w /work -v ${PWD}/pdm.lock:/work/pdm.lock -v ${PWD}/pyproject.toml:/work/pyproject.toml python:3.10-slim bash -c \"apt update && apt install curl -y && curl -sSL https://pdm.fming.dev/install-pdm.py | python3 - && /root/.local/bin/pdm lock -G :all -v\"" [tool.pdm.dev-dependencies] dev = [ - "typing-extensions>=4.5.0", + "typing-extensions", "jupyter>=1.0.0", "jupyterlab>=3.4.2", "pre-commit>=2.19.0", @@ -47,6 +55,7 @@ dev = [ "mlflow>2", "black[d]>=22.12.0", "pip>=23.1.2", + "pydantic>=2", ] ml_runtime = [ "langchain>=0.0.187", @@ -57,22 +66,26 @@ ml_runtime = [ "catboost>=1.1.1", "requests-mock>=1.10.0", "tensorflow-hub>=0.12.0", - "transformers>=4.33, <4.34", # https://github.com/huggingface/transformers/issues/23352 - "absl-py", # Needed for 3.11 transformers - "sentencepiece", # needed for some transformers stuff with tokenizer + "transformers>=4.34.1", + "sentencepiece", # needed for some transformers stuff with tokenizer "torch>=2.0.0", "torchdata>=0.6.0", - "portalocker>=2.0.0", # Needed by torchdata for test_newspaper_classification_pytorch_dataset + "portalocker>=2.0.0", # Needed by torchdata for test_newspaper_classification_pytorch_dataset "torchtext>=0.15.1", - "tensorflow-macos>=2.13.0, <2.14; sys_platform == 'darwin' and platform_machine == 'arm64'", - "tensorflow>=2.13, <2.14", + "tensorflow-macos==2.14.0; sys_platform == 'darwin' and platform_machine == 'arm64'", + "tensorflow==2.14.0", # tensorflow-text is only available on linux or mac, but not for arm64 nor windows - "tensorflow-text>=2.13, <2.14; python_version < '3.11' and (sys_platform == 'linux' or sys_platform == 'darwin') and platform_machine == 'x86_64'", + "tensorflow-text==2.14.0; python_version < '3.11' and (sys_platform == 'linux' or sys_platform == 'darwin') and platform_machine == 'x86_64'", "mlflow>2", "wandb", - "tensorflow-io-gcs-filesystem<0.32; platform_machine != 'arm64'", # Tensorflow io does not work for windows from 0.32, but does not work for arm64 before... + "tensorflow-io-gcs-filesystem<0.32; platform_machine != 'arm64'", # Tensorflow io does not work for windows from 0.32, but does not work for arm64 before... +] +test = [ + "pytest-cov>=4.0.0", + "pytest>=7.1.2", + "pytest-xdist>=3.3.1", + "polyfactory", ] -test = ["pytest-cov>=4.0.0", "pytest>=7.1.2", "pytest-xdist>=3.3.1", "polyfactory"] doc = [ "furo>=2023.5.20", "myst-parser>=1.0.0", @@ -112,15 +125,8 @@ readme = "README.md" license = { text = "Apache Software License 2.0" } version = "2.0.0b26" description = "The testing framework dedicated to ML models, from tabular to LLMs" -authors = [ - { name = "Giskard AI", email = "hello@giskard.ai" }, -] -keywords = [ - "Artificial Intelligence", - "Machine Learning", - "Quality", - "MLOps" -] +authors = [{ name = "Giskard AI", email = "hello@giskard.ai" }] +keywords = ["Artificial Intelligence", "Machine Learning", "Quality", "MLOps"] # Pypi classifiers: https://pypi.org/classifiers/ classifiers = [ @@ -130,13 +136,12 @@ classifiers = [ "Operating System :: OS Independent", "Topic :: Scientific/Engineering :: Artificial Intelligence", "License :: OSI Approved :: Apache Software License", - "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", ] -requires-python = ">=3.8.1, <3.12" +requires-python = ">=3.9, <3.12" dependencies = [ "cloudpickle>=1.1.1", "zstandard>=0.10.0", @@ -149,7 +154,7 @@ dependencies = [ "mixpanel>=4.4.0", "requests>=2.19", "pydantic<3,>1", - "pandas>=1.3.4,<2", + "pandas>=1.3.4", "xxhash>=3.2.0", "langdetect>=1.0.9", "chardet", # text metadata @@ -171,7 +176,7 @@ llm = [ "langchain<=0.0.301", # Weirdly fails with newer version, see https://linear.app/giskard/issue/GSK-1853/updating-lanchain-version-over-00301-weirdly-fails "evaluate", "bert-score", - "datasets" + "datasets", ] server = [ @@ -180,8 +185,8 @@ server = [ "click>=7.0", "docker>=6.0.0", "shap>=0.41.0", - "llvmlite>=0.40.0", # Needed to be installable for Poetry - "numba>=0.50.0", # Needed to be installable for Poetry + "llvmlite>=0.40.0", # Needed to be installable for Poetry + "numba>=0.50.0", # Needed to be installable for Poetry "lockfile>=0.12.2", "python-daemon>=2.2.2,<3", "pycryptodome>=3.6.1", @@ -220,8 +225,21 @@ exclude = ''' py_version = 38 line_length = 100 -known_typing = ["typing", "types", "typing_extensions", "mypy", "mypy_extensions"] -sections = ["FUTURE", "TYPING", "STDLIB", "THIRDPARTY", "FIRSTPARTY", "LOCALFOLDER"] +known_typing = [ + "typing", + "types", + "typing_extensions", + "mypy", + "mypy_extensions", +] +sections = [ + "FUTURE", + "TYPING", + "STDLIB", + "THIRDPARTY", + "FIRSTPARTY", + "LOCALFOLDER", +] include_trailing_comma = true profile = "black" multi_line_output = 3 @@ -240,15 +258,15 @@ show_error_context = true plugins = ["pydantic.mypy"] allow_redefinition = false -check_untyped_defs = false # TODO: Andrey: fix it gradually -disallow_untyped_defs = false # TODO: Andrey: fix it gradually -disallow_any_generics = false # TODO: Andrey: fix it gradually +check_untyped_defs = false # TODO: Andrey: fix it gradually +disallow_untyped_defs = false # TODO: Andrey: fix it gradually +disallow_any_generics = false # TODO: Andrey: fix it gradually disallow_incomplete_defs = false # TODO: Andrey: fix it gradually ignore_missing_imports = true implicit_reexport = false -no_implicit_optional = false # TODO: Andrey: fix it gradually -strict_equality = false # TODO: Andrey: fix it gradually -strict_optional = false # TODO: Andrey: fix it gradually +no_implicit_optional = false # TODO: Andrey: fix it gradually +strict_equality = false # TODO: Andrey: fix it gradually +strict_optional = false # TODO: Andrey: fix it gradually warn_no_return = false warn_redundant_casts = true warn_return_any = false @@ -260,11 +278,24 @@ warn_unused_ignores = false # 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